ETL Testing with concept of ETL Development in Informatica and DataStage

Introduction to ETL and DW Concepts:

What is Data Warehousing?

Differences between OLTP and Data Warehousing

Why we need two separate solution for real time and warehousing

Data Acquisition

• DATA EXTRACTION

How to extract data from several sources and load into same target table

• DATA TRANSFORMATION

How to perform transformation logics on data

• DATA LOADING

How to load data into final target table

Data Marts

Need and usage of data marts and types of data marts

• Dependent DM

• Independent DM

DATA WAREHOUSING LIFE CYCLE

Types of Tables:

Fact Table

Dimension table

Schemas:

Star Schema

Snowflake Schema

Fact Constellation Schema

SCD ( Slowly Changing Dimensions )

Different types of SCD’s which developer develops and a tester has to test as per different types of data needs of clients

We implement SCD-1 and SCD-2 in class to show the implementation part more transparently and explain SCD-3 to define how to work on limited historical data as well which is used sometimes

Types:

• TYPE1 SCD

• TYPE2 SCD

• TYPE3 SCD

ETL Tool Implementation and Testing Concepts:

Basic Concepts In Sql (Select, Update, Insert and Delete)

How to design frequently used testing queries to validate the data in source and target for both of the reasons Data Quality and Correctness to ensure that expected data came into the final and mediator target tables or not.

Overview Of Etl Tool Architecture

How ETL tool works and what is the basic need of ETL tools in the market,

What are the similarities between ETL tools and SQL

Why we use ETL Tools if SQL is the only standard which any Database or Data Warehouse can use

How ETL Tools work at back end

Different ETL Tools in the market

What types of tasks tester performs on ETL for testing purpose

Informatica PowerCenter (Leading tool in the market)

Coding and testing process in different transformation rules:

• SAMPLE Loading from source to target

• SORTER Transformation

• FILTER Transformation

• EXPRESSION Transformation

• JOINER Transformation

• UNION Transformation

• AGGREAGATOR Transformation

• SEQUENCE GENERATOR Transformation

• SQL Transformation

We provide this practice as additional benefit to you so that you can implement jobs by yourself to understand that what developers do in real time which you have to test.

Testing Techniques in ETL

MINUS Query

COUNT Query

UNION Query

JOIN Query

Informatica PowerCenter

How developers work on PowerCenter

Different components of PowerCenter

Tasks developed in different components

Data Stage

What is Data Stage

Differences between Informatica PowerCenter and DataStage

Components of DataStage

Differences between ETL development process in Informatica and DataStage

Additional benefits:

Interview Questions

Resume preparations

Real-time Scenarios examples and solution discussion

Assignments

All the guidance for Informatica Certification is provided by Radical.

Trainer is having 11yrs of Industry experience and 7yrs of teaching Experience on Informatica. He worked on different MNC having strong domain knowledge.

In Radical we provide scenario based training with real time examples, project explanation, project related queries.Any one who is having basic knowledge of SQL queries can start learning Informatica tool.

As it is a GUI based tool, coding knowledge wouldn’t be necessary.At least 1-3 yrs of experience is good enough to get interview calls.

Student can learn future course either Data Modelling or any OLAP Tool.